Optimal Allocation of Distributed Energy Resources Using Improved Meta-heuristic Techniques

Optimal accommodation and management of high renewable penetration in distribution systems

“…GA is a powerful meta‐heuristic optimisation technique inspired from the process of natural selection. It is a population‐based method which has the ability to explore global or near global optimal solution for complex power system optimisation problems [4, 5, 12, 13]. In this paper, two GAs are used to solve the optimal accommodation and management simultaneously: (i) simultaneous optimal accommodation of WTs and BESSs which will act as the main optimisation method (ii) optimal management of BESS which will be used as the subroutine technique to determine hourly optimal scheduling of BESS based on available SOCs and update its SOC status.…”

“…The optimally accommodated DERs may provide enormous benefits to distribution system operators, DER owners and customers such as minimised power/energy loss [2–6] and emission, improved bus voltage profile [4–9], reliability [10, 11] and voltage stability [6, 8], peak load shaving [5] etc. Considering optimal number, site, size, types of DERs etc., the optimal DER accommodation problem turns out to be a complex mixed‐integer, non‐convex and non‐linear optimisation problem [6, 9].…”

“…In literature, various optimisation methods have been adopted to solve the complex DER accommodation problems in order to identify optimal nodes, sizes and types. These can be genetic algorithm (GA) [4, 5, 12, 13], second‐order cone programming [14], particle swarm optimisation [2–4, 11, 15, 16], differential evolution [17], artificial bee colony [2, 11], biogeography‐based optimisation [17], Taguchi method [8, 9], teaching‐learning‐based optimisation [17], grey wolf optimisation [11, 17], tabu‐search [3, 17], improved elephant herd optimisation [6] etc.…”

“…Apart from optimisation methods, various strategies are also suggested in literature to mitigate the impact of high DG penetration and to improve the distribution systems performance. Some of these may be simultaneous and optimal accommodation of different DG technologies considering their pros and cons [4, 8], optimal accommodation of DGs in coordination with operational strategies such as network reconfiguration [4] and voltage regulators. The above discussed strategies certainly improve the system performance but may not be wise choice to manage the high penetration of renewables due to their intermittent and uncertain characteristics.…”

Optimization of distributed generation units in reactive power compensated reconfigured distribution network

“…Many researchers have solved the DG allocation and sizing problem using various optimization methods. Recently, to reduce power loss in the radial DN, optimal allocation of all the three techniques, such as NR, DG and CA, has been adopted [31][32][33][34][35].…”